Skip to content

This is a simple web application that uses YOLOv8 to detect traffic signs in images and videos.

Notifications You must be signed in to change notification settings

isinsuarici/Object-Detection-WebApp

Repository files navigation

Object Detection WebApp using Ultralytics and Streamlit

Introduction

This is a simple web application that uses YOLOv8 to detect objects in images and videos. The application is built using Streamlit and Ultralytics. The model is trained on the Traffic and Road Dataset.

Link to the app

Object Detection WebApp

Installation

  1. Clone the repository
git clone
  1. Create a virtual environment
conda create -n <env_name> python=3.9 -y
  1. Go to the virtual environment
conda activate <env_name>
  1. Install requirements to the virtual environment
pip install -r requirements.txt
  1. Run the app
streamlit run main.py

About

This is a simple web application that uses YOLOv8 to detect traffic signs in images and videos.

Resources

Stars

Watchers

Forks

Languages